运用文本挖掘技术，基于知乎平台2022年度百问数据集，从回答的内外在特征出发，探究其对问答社区中用户创作内容认可度的影响机制。研究发现，回答的内在特征——信息质量与信源可信度，以及外在特征——内容的独特性，均对回答内容的认可度产生显著影响；时间间隔对内容认可度有显著的负向影响；同时，时间间隔对回答的内在特征和外在特征均具有显著的调节效应，即在信息质量、信源可信度影响内容认可度过程中产生负向的调节效应，在独特性影响内容认可度过程中产生正向的调节效应。

This study using text mining techniques is based on the Zhihu platform’s 2022 Annual Hundred Questions dataset to explore the impact mechanisms of user-generated content recognition in Q&A communities, focusing on the intrinsic and extrinsic characteristics of the answers. The research finds that both the internal characteristics-information quality and source credibility-and the external characteristic-content uniqueness-significantly influence the content recognition. The time interval has a significant negative effect on content recognition. Additionally, the time interval exhibits significant moderating effects on both the internal and external characteristics of the answers. Specifically, it produces negative moderating effects on the relationship between information quality, source credibility, and content recognition, while having positive moderating effects on the relationship between content uniqueness and content recognition.